BenderV/generate is a remarkable tool designed to generate data from Large Language Models (LLM). It offers a unique approach to data creation, although it is now deprecated. The repository contains various files and directories, with the README.md providing essential information about the project. To install the front-end, users are instructed to navigate to the 'view' directory and run yarn
followed by yarn dev
. For the back-end, they need to navigate to the 'service' directory and install the required packages using pip install -r requirements.txt
. Additionally, users are reminded to add environment variables such as DATABASE_URL
and OPENAI_API_KEY
. The project showcases the potential of AI in data generation and serves as a valuable resource for those interested in this area. Despite its deprecation, it can still offer insights and learning opportunities for developers and researchers in the field of AI and data generation.
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